A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups

A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups

In the collaborative filtering recommender systems (CFRS) field, recommendation to group of users is mainly focused on stablished, occasional or random groups. These groups have a little number of users: relatives, friends, colleagues, etc. Our proposal deals with large numbers of automatically dete...

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Bibliographic Details
Main Authors: Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, Remigio Hurtado
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2020-06-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
recommendation systems
clustering
collaborative filtering
dimensionality reduction
group recommendation
Online Access:http://www.ijimai.org/journal/bibcite/reference/2758

Internet

http://www.ijimai.org/journal/bibcite/reference/2758

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